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Contact Information

Name Mihajlo Stevanović
Professional Title MSc MVA student, ENS Paris-Saclay · Robot learning
Email mihastevanovic04@gmail.com

Professional Summary

Robot learning (imitation and reinforcement learning), world models, contact-rich and dynamic manipulation, trajectory optimization and model-based control, sim-to-real transfer.

Experience

  • 2026 - present

    Belgrade, Serbia

    Research project: robotic table tennis, ball interception (in progress)
    ETF Robotics Laboratory, University of Belgrade
    • Gazebo setup on franka_ros (ROS 1 Noetic); MoveIt interceptor within 1–2 cm of the predicted contact point but too slow, so developing a nonlinear MPC (CasADi/IPOPT, acados).
  • 2026 - 2026

    Zrenjanin, Serbia

    Selected participant
    PSIML, Practical Seminar in Machine Learning
    • Action-conditioned video world model: LoRA fine-tuning of Wan2.1 on BAIR robot pushing; 84.8% direction accuracy on 256 held-out scenes.
  • 2025 - 2026

    Belgrade, Serbia

    Robotics Research Intern
    ETF Robotics Laboratory, University of Belgrade
    • IL/RL policies for cable insertion in Isaac Lab for the AI for Industry Challenge (Intrinsic & Open Robotics).
    • OpenUSD scenes and a containerized ROS 2 / Gazebo sim-to-real environment.
    • BSc thesis: 30,290 demos, ACT vs. Diffusion Policy data-scaling study (lateral error is the main obstacle; 3.5× lower with more data: 41.2 → 11.8 mm).
  • 2025 - 2026

    Belgrade, Serbia

    Teaching Assistant (lab sessions, 4 undergraduate courses)
    School of Electrical Engineering, University of Belgrade

Education

  • 2026 - 2027

    Gif-sur-Yvette, France

    MSc (M2)
    École Normale Supérieure (ENS) Paris-Saclay
    Mathématiques, Vision, Apprentissage (MVA)
    • French Government Scholarship (BGF)
    • Fall courses: Robotics · Convex Optimization · Probabilistic Graphical Models & Deep Generative Models · Optimal Transport for ML · Foundations of LLMs
  • 2022 - 2026

    Belgrade, Serbia

    BSc
    University of Belgrade, School of Electrical Engineering
    Electrical Engineering and Computing, Signals and Systems
    • Thesis: Limits of Imitation Learning for High-Precision Manipulation (advisor: Prof. Kosta Jovanović)
    • Selected courses: Robotics & Automation · Autonomous Mobile Robots · Control Systems 1 & 2 · System Modeling & Identification · Stochastic Systems & Estimation · Neural Networks

Publications

Awards

  • 2026
    French Government Scholarship (BGF)
    Government of France

    For the M2 MVA at ENS Paris-Saclay.

  • 2026
    3rd Place, Play With IT Agri-Bot Hackathon (team lead)
    Embassy of Italy, Belgrade

Skills

Robotics: NVIDIA Isaac Sim/Lab, OpenUSD, ROS 1 (Noetic), ROS 2 (Jazzy, Kilted), Gazebo, ABB RobotStudio
Machine learning: PyTorch, ACT, Diffusion Policy, reinforcement learning, LoRA fine-tuning, NumPy, SciPy
Programming: Python, C, C++, MATLAB, Bash, Git, Docker, Linux

Languages

Serbian : Native
English : C1 (TOEFL iBT 90)
German : B1
French : A2